Co-operative Estimation for Source Localisation using Binary Sensors

Selvaratnam, D, Shames, I, Dimarogonas, D, Manton, J and Ristic, B 2017, 'Co-operative Estimation for Source Localisation using Binary Sensors', in Proceedings of the 2017 IEEE 56th Annual Conference on Decision and Control (CDC 2017), Melbourne, Australia, 12-15 December 2017, pp. 1572-1577.


Document type: Conference Paper
Collection: Conference Papers

Title Co-operative Estimation for Source Localisation using Binary Sensors
Author(s) Selvaratnam, D
Shames, I
Dimarogonas, D
Manton, J
Ristic, B
Year 2017
Conference name CDC 2017
Conference location Melbourne, Australia
Conference dates 12-15 December 2017
Proceedings title Proceedings of the 2017 IEEE 56th Annual Conference on Decision and Control (CDC 2017)
Publisher IEEE
Place of publication United States
Start page 1572
End page 1577
Total pages 6
Abstract This paper considers the problem of localising a signal source using a team of mobile agents that can only detect the presence or absence of the signal. A background false detection rate and missed detection probability are incorporated into the assumptions. An estimation algorithm is proposed that discretizes the search environment into cells, and uses Bayesian techniques to approximate the posterior probability of each cell containing the source. Analytical results are presented for a range of specific cases, and simulations are used to investigate more complex scenarios.
Subjects Signal Processing
DOI - identifier 10.1109/CDC.2017.8263875
Copyright notice © 2017 IEEE
ISBN 9781509028740
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